Road recognition is one of essential information for determining an Autonomous Vehicle movement. Latest research has shown that machine learning could be used to obtain the information from images. Nevertheless, the s...
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ISBN:
(纸本)9781728180397
Road recognition is one of essential information for determining an Autonomous Vehicle movement. Latest research has shown that machine learning could be used to obtain the information from images. Nevertheless, the system could be improved by effectivity and efficiency. this research proposed finding better feature combinations and using Artificial Neural Network algorithm to build higher accuracy road detection model for better effectivity. Region of Interest module using heuristic method also applied to reduce computation for better efficiency. these three new modules are implemented and combined with road recognition module to become road recognition system. the proposed method performance then tested and compared withthe latest research. the experiment results shown that Artificial Neural Network cannot increase the system effectiveness. Nonetheless, with right feature and region of interest module, the proposed system successfully gives better performance. the prototype has accuracy increased from F1-score 0,94 to 0,95 and speed increased from 99 to 112 frames processed per second.
this paper studies the stability and stabilization problem of Takagi-Sugeno (T-S) fuzzy systems with time-varying delay by using linear programming (LP) technique while imposing positivity in closed-loop. New delay-de...
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ISBN:
(纸本)9781728119380
this paper studies the stability and stabilization problem of Takagi-Sugeno (T-S) fuzzy systems with time-varying delay by using linear programming (LP) technique while imposing positivity in closed-loop. New delay-dependent stabilization conditions are derived using a new Lyapunov-Krasovskii functional (LKF). To show the advantages of the proposed design procedure, a numerical example is studied.
We consider the problem of inverse kinematics (IK), where one wants to find the parameters of a given kinematic skeleton that best explain a set of observed 3D joint locations. the kinematic skeleton has a tree struct...
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ISBN:
(纸本)9781728131313
We consider the problem of inverse kinematics (IK), where one wants to find the parameters of a given kinematic skeleton that best explain a set of observed 3D joint locations. the kinematic skeleton has a tree structure, where each node is a joint that has an associated geometric transformation that is propagated to all its child nodes. the IK problem has various applications in vision and graphics, for example for tracking or reconstructing articulated objects, such as human hands or bodies. Most commonly, the IK problem is tackled using local optimisation methods. A major downside of these approaches is that, due to the non-convex nature of the problem, such methods are prone to converge to unwanted local optima and therefore require a good initialisation. In this paper we propose a convex optimisation approach for the IK problem based on semidefinite programming, which admits a polynomial-time algorithm that globally solves (a relaxation of) the IK problem. Experimentally, we demonstrate that the proposed method significantly outperforms local optimisation methods using different real-world skeletons.
this study aims to use alternative data on measuring bank branch performance within the NCR in the Philippines. It is also aimed to identify optimal solution in maximizing the bank branches performance as a community ...
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ISBN:
(数字)9781728167855
ISBN:
(纸本)9781728167862
this study aims to use alternative data on measuring bank branch performance within the NCR in the Philippines. It is also aimed to identify optimal solution in maximizing the bank branches performance as a community while minimizing the operating expense using goal programming approach. It was concluded that bank branch performance in NCR is largely dependent on the number of accounts and number of over-the-counter transactions. the result of this study is very timely as the banks in the country have already started charging its clients for over-the-counter transactions, such as withdrawals and inter-regional deposits. Since the number of over-the-counter transactions has a positive effect on branch performance, the management should think of ways on how it can entice its clients on transacting in the branch instead of using the digital platforms.
An energy management algorithm to optimally control a rooftop solar photovoltaic device in combination with a battery storage and considering variable pricing is analyzed for single family houses. A discrete time dyna...
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ISBN:
(数字)9781728159539
ISBN:
(纸本)9781728159546
An energy management algorithm to optimally control a rooftop solar photovoltaic device in combination with a battery storage and considering variable pricing is analyzed for single family houses. A discrete time dynamic programming controller is developed to minimize the electricity costs. It is shown in simulation, using real world measurement data, that considerable savings can be achieved withthe optimal controller. However, we also show the limitations of such discrete time approaches in realistic scenarios when load and generation changes in-between the samples where the controller is active. this can lead to a performance deterioration making the optimal controller worse than a standard approach.
Providing energy to areas isolated from the electricity grid through the use of a smart integrated renewable energy system (SIRES) is based on the Agenda 2030 for Sustainable Development, specifically Goal 7, accordin...
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this paper describes effect for human feelings by using an electrical rocking chair (ERC) synchronized with moving pictures (MPs). the relations between human Kansei and rocking angles are clarified by using the ERC a...
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Neural networks trained only to optimize for training accuracy can often be fooled by adversarial examples - slightly perturbed inputs misclassified with high confidence. Verification of networks enables us to gauge t...
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Currently, some students do not understand correctly certain mathematical concepts. Matrices and their operations are some example of this. this can be related to the lack of contextualization in some area of interest...
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ISBN:
(纸本)9781450371919
Currently, some students do not understand correctly certain mathematical concepts. Matrices and their operations are some example of this. this can be related to the lack of contextualization in some area of interest, which makes the student thinks that the concept learning without applications is meaningless. For this reason, it is important to present mathematical concepts in a contextualized manner in some area of interest. this paper presents the construction of a Learning Object (LO) for matrix operations and an application in digital image processing. this work carried out aims to investigate the effects produced by the use of the LO and the C ++ programming language for digital image processing, in the operations and application matrices learning process. the LO construction process followed the phases of the ADDLE model. the results obtained during the implementation and evaluation phase of the model are presented. the LO was implemented in the course of programming for Sciences, and seven students of the Bachelor of Mathematics of the University of Guadalajara participated in the focus group session. the results show the proposal is interesting, easy to use and it has a good educational potential. the evidence shows that the learning was achieved satisfactorily, since the visualization and reasoning processes are observed in the worksheets.
Parallel programming skills may require long time to acquire. "think in parallel" is a skill which requires time, effort, and experience. In this work, we propose to facilitate the learning process in parall...
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ISBN:
(纸本)9781450371919
Parallel programming skills may require long time to acquire. "think in parallel" is a skill which requires time, effort, and experience. In this work, we propose to facilitate the learning process in parallel programming by using instant messaging by students. Our aim is to find out if students' interaction through instant messaging is beneficial for the learning process. We asked several students of an HPC course of the Master's degree in Computer Science to develop a specific parallel application, each of them using a different application program interface: OpenMP, MPI, CUDA, or OpenCL. Even though the used APIs are different, there are common points in the design process. We proposed to these students to interact with each other by using Gitter, an instant messaging tool for Github users. Our analysis of the communications and results demonstrate that the direct interaction of students through the Gitter tool has a positive impact on the learning process.
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